diff --git a/404.html b/404.html index 97c7fc65c0..1c33c0b9f5 100644 --- a/404.html +++ b/404.html @@ -21,7 +21,7 @@ - + diff --git a/agents-overview.html b/agents-overview.html index ac2d0f5c3b..172322e21f 100644 --- a/agents-overview.html +++ b/agents-overview.html @@ -21,7 +21,7 @@ - + diff --git a/agents-tool-calling-agent-component.html b/agents-tool-calling-agent-component.html index a49194cceb..f52c2f0d79 100644 --- a/agents-tool-calling-agent-component.html +++ b/agents-tool-calling-agent-component.html @@ -21,7 +21,7 @@ - + diff --git a/api-reference-api-examples.html b/api-reference-api-examples.html index 75a368f1c6..e620de9b5f 100644 --- a/api-reference-api-examples.html +++ b/api-reference-api-examples.html @@ -21,7 +21,7 @@ - + diff --git a/api.html b/api.html index fa03b6ea98..b7cf3b0138 100644 --- a/api.html +++ b/api.html @@ -21,7 +21,7 @@ - + diff --git a/api/add-user.html b/api/add-user.html index 218dbdeb74..17edffbf49 100644 --- a/api/add-user.html +++ b/api/add-user.html @@ -21,7 +21,7 @@ - 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In this case, select ",(0,s.jsx)(t.strong,{children:"NVIDIA Base URL"}),"."]}),"\n",(0,s.jsxs)(t.li,{children:["Click ",(0,s.jsx)(t.strong,{children:"Save Variable"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["Click the ",(0,s.jsx)(t.strong,{children:"Select files"})," button to select which file you want to ingest."]}),"\n",(0,s.jsx)(t.li,{children:"Select which text type to extract from the file.\nThe component supports text, charts, and tables."}),"\n",(0,s.jsxs)(t.li,{children:["Select whether to split the text into chunks.\nModify the splitting parameters in the component's ",(0,s.jsx)(t.strong,{children:"Configuration"})," tab."]}),"\n",(0,s.jsxs)(t.li,{children:["Click ",(0,s.jsx)(t.strong,{children:"Run"})," to ingest the file."]}),"\n",(0,s.jsxs)(t.li,{children:["To confirm the component is ingesting the file, open the ",(0,s.jsx)(t.strong,{children:"Logs"})," pane to view the output of the flow."]}),"\n",(0,s.jsxs)(t.li,{children:["To store the processed data in a vector database, add an ",(0,s.jsx)(t.strong,{children:"AstraDB Vector"})," component to your flow, and connect the ",(0,s.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component to the ",(0,s.jsx)(t.strong,{children:"AstraDB Vector"})," component with a ",(0,s.jsx)(t.strong,{children:"Data"})," output."]}),"\n"]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"NVIDIA Retriever Extraction component flow",src:n(76102).A+"",width:"1722",height:"1548"})}),"\n",(0,s.jsxs)(t.ol,{start:"10",children:["\n",(0,s.jsx)(t.li,{children:"Run the flow.\nInspect your Astra DB vector database to view the processed data."}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"parameters",children:"NVIDIA Retriever Extraction component parameters"}),"\n",(0,s.jsxs)(t.p,{children:["The ",(0,s.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component has the following parameters."]}),"\n",(0,s.jsxs)(t.p,{children:["For more information, see the ",(0,s.jsx)(t.a,{href:"https://nvidia.github.io/nv-ingest/user-guide/",children:"NV-Ingest documentation"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"inputs",children:"Inputs"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Name"}),(0,s.jsx)(t.th,{children:"Display Name"}),(0,s.jsx)(t.th,{children:"Info"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"base_url"}),(0,s.jsx)(t.td,{children:"NVIDIA Ingestion URL"}),(0,s.jsx)(t.td,{children:"The URL of the NVIDIA Ingestion API."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"path"}),(0,s.jsx)(t.td,{children:"Path"}),(0,s.jsx)(t.td,{children:"File path to process."})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"extract_text"}),(0,s.jsx)(t.td,{children:"Extract Text"}),(0,s.jsxs)(t.td,{children:["Extract text from documents. Default: ",(0,s.jsx)(t.code,{children:"True"}),"."]})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"extract_charts"}),(0,s.jsx)(t.td,{children:"Extract Charts"}),(0,s.jsxs)(t.td,{children:["Extract text from charts. Default: ",(0,s.jsx)(t.code,{children:"False"}),"."]})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"extract_tables"}),(0,s.jsx)(t.td,{children:"Extract Tables"}),(0,s.jsxs)(t.td,{children:["Extract text from tables. Default: ",(0,s.jsx)(t.code,{children:"True"}),"."]})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"text_depth"}),(0,s.jsx)(t.td,{children:"Text Depth"}),(0,s.jsxs)(t.td,{children:["The level at which text is extracted. Options: 'document', 'page', 'block', 'line', 'span'. Default: ",(0,s.jsx)(t.code,{children:"document"}),"."]})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"split_text"}),(0,s.jsx)(t.td,{children:"Split Text"}),(0,s.jsxs)(t.td,{children:["Split text into smaller chunks. 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Default: ",(0,s.jsx)(t.code,{children:"0"}),"."]})]})]})]}),"\n",(0,s.jsx)(t.h3,{id:"outputs",children:"Outputs"}),"\n",(0,s.jsxs)(t.p,{children:["The ",(0,s.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component outputs a list of ",(0,s.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects where each object contains:"]}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"text"}),": The extracted content.","\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"For text documents: The extracted text content."}),"\n",(0,s.jsx)(t.li,{children:"For tables and charts: The extracted table/chart content."}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"file_path"}),": The source file name and path."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"document_type"}),': The type of the document ("text" or "structured").']}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"description"}),": Additional description of the content."]}),"\n"]}),"\n",(0,s.jsxs)(t.p,{children:["The output varies based on the ",(0,s.jsx)(t.code,{children:"document_type"}),":"]}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Documents with ",(0,s.jsx)(t.code,{children:'document_type: "text"'})," contain:"]}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Raw text content extracted from documents, for example, paragraphs from PDFs or DOCX files."}),"\n",(0,s.jsxs)(t.li,{children:["Content stored directly in the ",(0,s.jsx)(t.code,{children:"text"})," field."]}),"\n",(0,s.jsxs)(t.li,{children:["Content extracted using the ",(0,s.jsx)(t.code,{children:"extract_text"})," parameter."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Documents with ",(0,s.jsx)(t.code,{children:'document_type: "structured"'})," contain:"]}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Text extracted from tables and charts and processed to preserve structural information."}),"\n",(0,s.jsxs)(t.li,{children:["Content extracted using the ",(0,s.jsx)(t.code,{children:"extract_tables"})," and ",(0,s.jsx)(t.code,{children:"extract_charts"})," parameters."]}),"\n",(0,s.jsxs)(t.li,{children:["Content stored in the ",(0,s.jsx)(t.code,{children:"text"})," field after being processed from the ",(0,s.jsx)(t.code,{children:"table_content"})," metadata."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.admonition,{type:"note",children:(0,s.jsx)(t.p,{children:"Images are currently not supported and will be skipped during processing."})})]})}function u(e={}){const{wrapper:t}={...(0,i.R)(),...e.components};return t?(0,s.jsx)(t,{...e,children:(0,s.jsx)(p,{...e})}):p(e)}function j(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},76102:(e,t,n)=>{n.d(t,{A:()=>r});const r=n.p+"assets/images/nvidia-component-ingest-astra-c6f0107751252206ab0d500a25ba3f9c.png"}}]); 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a/integrations-composio.html +++ b/integrations-composio.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-langfuse.html b/integrations-langfuse.html index 2648e861c4..74d4710bf0 100644 --- a/integrations-langfuse.html +++ b/integrations-langfuse.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-langsmith.html b/integrations-langsmith.html index 2d0ecc5d17..8e712bb3d9 100644 --- a/integrations-langsmith.html +++ b/integrations-langsmith.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-langwatch.html b/integrations-langwatch.html index 7e1a499a6b..2b80a5e35c 100644 --- a/integrations-langwatch.html +++ b/integrations-langwatch.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-mcp.html b/integrations-mcp.html index ede0a88bc5..2136ce98a1 100644 --- a/integrations-mcp.html +++ b/integrations-mcp.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-nvidia-ingest-wsl2.html b/integrations-nvidia-ingest-wsl2.html index 4afef97e36..489dc385ae 100644 --- a/integrations-nvidia-ingest-wsl2.html +++ b/integrations-nvidia-ingest-wsl2.html @@ -21,11 +21,11 @@ - + -
Search
diff --git a/integrations-nvidia-ingest.html b/integrations-nvidia-ingest.html index 4c43b6b598..e03aa1c21b 100644 --- a/integrations-nvidia-ingest.html +++ b/integrations-nvidia-ingest.html @@ -3,7 +3,7 @@ -Integrate NVIDIA Ingest with Langflow | Langflow Documentation +Integrate NVIDIA Retriever Extraction with Langflow | Langflow Documentation @@ -21,11 +21,11 @@ - + -

Integrate NVIDIA Retriever Extraction with Langflow

+
note

NVIDIA Retriever Extraction is also known as NV-Ingest and NeMo Retriever Extraction.

+

The NVIDIA Retriever Extraction component integrates with the NVIDIA nv-ingest microservice for data ingestion, processing, and extraction of text files.

The nv-ingest service supports multiple extraction methods for PDF, DOCX, and PPTX file types, and includes pre- and post-processing services like splitting, chunking, and embedding generation.

-

The NVIDIA Ingest component imports the NVIDIA Ingestor client, ingests files with requests to the NVIDIA ingest endpoint, and outputs the processed content as a list of Data objects. Ingestor accepts additional configuration options for data extraction from other text formats. To configure these options, see the component parameters.

+

The NVIDIA Retriever Extraction component imports the NVIDIA Ingestor client, ingests files with requests to the NVIDIA ingest endpoint, and outputs the processed content as a list of Data objects. Ingestor accepts additional configuration options for data extraction from other text formats. To configure these options, see the component parameters.

Prerequisites​

  • An NVIDIA Ingest endpoint. For more information on setting up an NVIDIA Ingest endpoint, see the NVIDIA Ingest quickstart.

  • -

    The NVIDIA Ingest component requires the installation of additional dependencies to your Langflow environment. To install the dependencies in a virtual environment, run the following commands.

    +

    The NVIDIA Retriever Extraction component requires the installation of additional dependencies to your Langflow environment. To install the dependencies in a virtual environment, run the following commands.

    • If you have the Langflow repository cloned and installed from source:
    @@ -54,42 +55,42 @@

    _10
    source **YOUR_LANGFLOW_VENV**/bin/activate
    _10
    uv pip install --prerelease=allow 'langflow[nv-ingest]'
    _10
    uv run langflow run

-

Use the NVIDIA Ingest component in a flow​

-

The NVIDIA Ingest component accepts Message inputs and outputs Data. The component calls a NVIDIA Ingest microservice's endpoint to ingest a local file and extract the text.

-

To use the NVIDIA Ingest component in your flow, follow these steps:

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Use the NVIDIA Retriever Extraction component in a flow​

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The NVIDIA Retriever Extraction component accepts Message inputs and outputs Data. The component calls an NVIDIA Ingest microservice's endpoint to ingest a local file and extract the text.

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To use the NVIDIA Retriever Extraction component in your flow, follow these steps:

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  1. In the component library, click the NVIDIA Ingest component, and then drag it onto the canvas.
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  2. In the NVIDIA Ingestion URL field, enter the URL of the NVIDIA Ingest endpoint. +
  3. In the component library, click the NVIDIA Retriever Extraction component, and then drag it onto the canvas.
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  4. In the Base URL field, enter the URL of the NVIDIA Ingest endpoint. Optionally, add the endpoint URL as a Global variable:
    1. Click Settings, and then click Global Variables.
    2. Click Add New.
    3. Name your variable. Paste your endpoint in the Value field.
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    4. In the Apply To Fields field, select the field you want to globally apply this variable to. In this case, select NVIDIA Ingestion URL.
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    5. In the Apply To Fields field, select the field you want to globally apply this variable to. In this case, select NVIDIA Base URL.
    6. Click Save Variable.
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  5. In the Path field, enter the path to the file you want to ingest.
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  6. Click the Select files button to select which file you want to ingest.
  7. Select which text type to extract from the file. The component supports text, charts, and tables.
  8. Select whether to split the text into chunks. Modify the splitting parameters in the component's Configuration tab.
  9. Click Run to ingest the file.
  10. To confirm the component is ingesting the file, open the Logs pane to view the output of the flow.
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  11. To store the processed data in a vector database, add an AstraDB Vector component to your flow, and connect the NVIDIA Ingest component to the AstraDB Vector component with a Data output.
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  12. To store the processed data in a vector database, add an AstraDB Vector component to your flow, and connect the NVIDIA Retriever Extraction component to the AstraDB Vector component with a Data output.
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NVIDIA Ingest component flow

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NVIDIA Retriever Extraction component flow

  1. Run the flow. Inspect your Astra DB vector database to view the processed data.
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NVIDIA Ingest component parameters​

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The NVIDIA Ingest component has the following parameters.

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NVIDIA Retriever Extraction component parameters​

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The NVIDIA Retriever Extraction component has the following parameters.

For more information, see the NV-Ingest documentation.

Inputs​

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NameDisplay NameInfo
base_urlNVIDIA Ingestion URLThe URL of the NVIDIA Ingestion API.
pathPathFile path to process.
extract_textExtract TextExtract text from documents. Default: True.
extract_chartsExtract ChartsExtract text from charts. Default: False.
extract_tablesExtract TablesExtract text from tables. Default: True.
text_depthText DepthThe level at which text is extracted. Support for 'block', 'line', and 'span' varies by document type. Default: document.
split_textSplit TextSplit text into smaller chunks. Default: True.
split_bySplit ByHow to split into chunks. 'size' splits by number of characters. Default: word.
split_lengthSplit LengthThe size of each chunk based on the 'split_by' method. Default: 200.
split_overlapSplit OverlapThe number of segments to overlap from the previous chunk. Default: 20.
max_character_lengthMax Character LengthThe maximum number of characters in each chunk. Default: 1000.
sentence_window_sizeSentence Window SizeThe number of sentences to include from previous and following chunks when split_by=sentence. Default: 0.
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NameDisplay NameInfo
base_urlNVIDIA Ingestion URLThe URL of the NVIDIA Ingestion API.
pathPathFile path to process.
extract_textExtract TextExtract text from documents. Default: True.
extract_chartsExtract ChartsExtract text from charts. Default: False.
extract_tablesExtract TablesExtract text from tables. Default: True.
text_depthText DepthThe level at which text is extracted. Options: 'document', 'page', 'block', 'line', 'span'. Default: document.
split_textSplit TextSplit text into smaller chunks. Default: True.
split_bySplit ByHow to split into chunks. Options: 'page', 'sentence', 'word', 'size'. Default: word.
split_lengthSplit LengthThe size of each chunk based on the 'split_by' method. Default: 200.
split_overlapSplit OverlapThe number of segments to overlap from the previous chunk. Default: 20.
max_character_lengthMax Character LengthThe maximum number of characters in each chunk. Default: 1000.
sentence_window_sizeSentence Window SizeThe number of sentences to include from previous and following chunks when split_by=sentence. Default: 0.

Outputs​

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The NVIDIA Ingest component outputs a list of Data objects where each object contains:

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The NVIDIA Retriever Extraction component outputs a list of Data objects where each object contains:

  • text: The extracted content.
      @@ -120,7 +121,7 @@ Inspect your Astra DB vector database to view the processed data.
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note

Images are currently not supported and will be skipped during processing.

Search
diff --git a/integrations-opik.html b/integrations-opik.html index 498848b4cd..da8a8eec82 100644 --- a/integrations-opik.html +++ b/integrations-opik.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-setup-google-cloud-vertex-ai-langflow.html b/integrations-setup-google-cloud-vertex-ai-langflow.html index baf4461ebe..6fbbd02108 100644 --- a/integrations-setup-google-cloud-vertex-ai-langflow.html +++ b/integrations-setup-google-cloud-vertex-ai-langflow.html @@ -21,7 +21,7 @@ - + diff --git a/integrations-setup-google-oauth-langflow.html b/integrations-setup-google-oauth-langflow.html index 67e02bf16f..4fee99bd18 100644 --- a/integrations-setup-google-oauth-langflow.html +++ b/integrations-setup-google-oauth-langflow.html @@ -21,7 +21,7 @@ - + diff --git a/integrations/notion/notion-agent-conversational.html b/integrations/notion/notion-agent-conversational.html index 100d122686..d2f0dc82f6 100644 --- a/integrations/notion/notion-agent-conversational.html +++ b/integrations/notion/notion-agent-conversational.html @@ -21,7 +21,7 @@ - + diff --git a/integrations/notion/notion-agent-meeting-notes.html b/integrations/notion/notion-agent-meeting-notes.html index d7a88074ce..53f138df66 100644 --- a/integrations/notion/notion-agent-meeting-notes.html +++ b/integrations/notion/notion-agent-meeting-notes.html @@ -21,7 +21,7 @@ - + @@ -206,7 +206,7 @@
  • Verify that all components are properly connected in the flow.
  • Review the Langflow logs for any error messages.
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    For more advanced usage and integration options, refer to the Notion API documentation and Langflow documentation.